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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-en |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: PolyAI/minds14 |
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type: PolyAI/minds14 |
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config: en-US |
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split: train |
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args: en-US |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.35723514211886304 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-tiny-en |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9035 |
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- Wer Ortho: 0.354643 |
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- Wer: 0.357235 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.0005 | 35.71 | 500 | 0.7515 | 36.1373 | 36.4341 | |
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| 0.0002 | 71.43 | 1000 | 0.8095 | 36.4065 | 36.5633 | |
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| 0.0001 | 107.14 | 1500 | 0.8421 | 36.4738 | 36.6925 | |
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| 0.0001 | 142.86 | 2000 | 0.8636 | 35.4643 | 35.5943 | |
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| 0.0001 | 178.57 | 2500 | 0.8822 | 35.6662 | 35.7235 | |
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| 0.0 | 214.29 | 3000 | 0.8931 | 35.4643 | 35.7235 | |
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| 0.0 | 250.0 | 3500 | 0.9013 | 35.4643 | 35.7235 | |
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| 0.0 | 285.71 | 4000 | 0.9035 | 35.4643 | 35.7235 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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